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C-FCN: Corners-based fully convolutional network for visual object detection.

, , и . Multim. Tools Appl., 79 (39-40): 28841-28857 (2020)

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Chengjun Liu

Jian Xie

Yangpei Xie

Mingliang Xie

Qian Xie

 

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Corrigendum to "Super-resolution by polar Newton-Thiele's rational kernel in centralized sparsity paradigm" Signal Processing: Image Communication, 31(2015), pp 86-99., , , , и . Signal Process. Image Commun., (2015)Detection of Pin Defects in Transmission Lines Based on Dynamic Receptive Field., , , и . PRCV (4), том 13537 из Lecture Notes in Computer Science, стр. 389-399. Springer, (2022)Pan-Mamba: Effective pan-sharpening with State Space Model., , , , , , и . CoRR, (2024)Training-Free Large Model Priors for Multiple-in-One Image Restoration., , , , , , , , , и . CoRR, (2024)Frequency-Adaptive Pan-Sharpening with Mixture of Experts., , , , , и . AAAI, стр. 2121-2129. AAAI Press, (2024)Pyramid Dual Domain Injection Network for Pan-sharpening., , , , , и . ICCV, стр. 12862-12871. IEEE, (2023)AF-RCNN: An anchor-free convolutional neural network for multi-categories agricultural pest detection., , , , и . Comput. Electron. Agric., (2020)C-FCN: Corners-based fully convolutional network for visual object detection., , и . Multim. Tools Appl., 79 (39-40): 28841-28857 (2020)S-RPN: Sampling-balanced region proposal network for small crop pest detection., , , , , и . Comput. Electron. Agric., (2021)PestNet: An End-to-End Deep Learning Approach for Large-Scale Multi-Class Pest Detection and Classification., , , , , , и . IEEE Access, (2019)